Bank Of America Merrill Lynch Quantitative Analyst interview typically runs 2-6 rounds: screening call, HireVue, phone interviews, superday. Timeline is about 2 weeks to several weeks, and the process can be highly variable.
$152K
Avg. Base Comp
$215K
Avg. Total Comp
3-4
Typical Rounds
2-4 weeks
Process Length
We’ve seen Bank of America Merrill Lynch use a surprisingly mixed bar for quantitative analyst candidates: some candidates get a process that is mostly conversational and market-aware, while others run into a much sharper technical test that blends probability, coding, and finance in the same sitting. That split is the key signal. Across experiences, the strongest candidates weren’t just “good at math” — they could move comfortably between expected value intuition, basic programming logic, and core banking concepts without sounding segmented or rehearsed.
A recurring theme is that the firm cares a lot about whether you can think like someone who will actually operate in a financial environment. Candidates were asked about depreciation across the three statements, DCFs, derivatives, repo mechanics, and even how unemployment or rates would affect the business. That tells us the interviewers are looking for commercial awareness, not just technical fluency. We’ve also seen several reports that peer interviewers probe more deeply than managers, which means surface-level answers tend to fall apart quickly once someone starts asking follow-ups.
The non-obvious make-or-break factor here is composure under a format that can feel abrupt. Multiple candidates mentioned HireVue-style prompts, quick turnaround answers, and interviewers who were not always from the exact team. In that setting, the candidates who did best had a clear story, could answer cleanly without rambling, and were ready for curveball questions about motivation, market news, or personal experience. In other words, this process rewards people who can sound precise, practical, and credible under pressure.
Synthetized from 4 candidates reports by our editorial team.
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Real interview reports from people who went through the Bank Of America Merrill Lynch process.
I went through a pretty standard Bank of America Merrill Lynch process for a quantitative analyst role, but the format was more intense than I expected. The first step was a HireVue-style video interview where there were no people on the other side, just the prompt on screen. For each question I had about 30 seconds to read it and then 2 minutes to answer live, and there were also a few written questions mixed in. The opening was very basic, like “tell me about yourself,” but the format itself made it feel a little awkward because you have to organize your thoughts fast and keep moving without any back-and-forth.
After that, the technical rounds got much more serious. One round focused heavily on probability and expected value problems, including dice, cards, and other small-game style questions. I was also asked a classic expected-value question about how many rolls it takes to see all faces of a die. Another round was more like a coding interview, with two medium LeetCode-style questions in an hour. In the competency portion, they asked about handling complex challenges, risk management practices, and how my personal strengths fit the role. I also got some more finance- and stats-oriented questions, like the impact of depreciation on the three statements and the assumptions behind linear regression and what happens when those assumptions fail. The hardest part was that the technicals weren’t just one flavor — they mixed probability, coding, and finance concepts, so you had to be ready for all of it.
Overall, the process felt structured and fairly demanding, especially in the superday-style rounds. I ended up not getting an offer, but the main takeaway was that you really need to have probability intuition, be comfortable explaining core finance/accounting concepts, and be able to answer quickly on video without much room to think out loud.
Prep tip from this candidate
Drill expected-value and probability questions like dice-roll and card problems, and make sure you can explain depreciation’s effect on the three statements plus the assumptions behind linear regression. If you get a HireVue, practice answering concise behavioral prompts in under 2 minutes because the timing is tight.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Bank Of America Merrill Lynch
Write a function that returns the shape of an isosceles triangle.
| Question | |
|---|---|
| Why Do You Want to Work With Us | |
| Your Strengths and Weaknesses | |
| 2nd Highest Salary | |
| Empty Neighborhoods | |
| Merge Sorted Lists | |
| Rolling Bank Transactions | |
| Comments Histogram | |
| Bagging vs Boosting | |
| Employee Salaries | |
| Closest SAT Scores | |
| Top Three Salaries | |
| Subscription Overlap | |
| Slacking Employees Salaries | |
| Find the Missing Number | |
| Cumulative Distribution | |
| Compute Deviation | |
| Maximum Profit | |
| Prime to N | |
| String Shift | |
| Last Transaction | |
| Department Expenses | |
| 500 Cards | |
| Session Difference | |
| Rain in N Days | |
| Random SQL Sample | |
| Assumptions of Linear Regression | |
| Paired Products | |
| Alphabet Sum | |
| Bank Fraud Model |
Synthesized from candidate reports. Individual experiences may vary.
The process often begins with an HR or recruiter call to confirm interest, background, and basic fit for the Quantitative Analyst role. Candidates were asked standard motivation questions like why they wanted the role and why Bank of America Merrill Lynch.
Candidates complete an automated video interview with no live interviewer, typically with about 30 seconds to read each prompt and 2 minutes to answer. The questions include a mix of behavioral prompts, written questions, and basic introductions such as "tell me about yourself."
The next stage includes one or more interviews with the hiring manager, peers, or team members. These rounds can cover probability and expected value problems, coding questions, Bayes' theorem, data structures, Monte Carlo, and finance fundamentals like DCF, derivatives, depreciation, and balance-sheet impacts.
Final rounds are often conducted as a superday-style session with multiple bankers or senior team members. The conversation is a mix of technical, market, and behavioral questions, including current market views, risk management, and fit questions such as why the firm, why the group, and why the candidate.